In 2008, I recieved my BSc from New Mexico State University where I studied Electrical Engineering, Applied Mathematics and Computer Science. My undergraduate thesis was a historical analysis of first century Christian literature. In 2011 I recieved an MPhil in Information Engineering from the University of Cambridge (UK). My master's thesis demonstrated how to extract complex mental representations using simple tasks. In 2018, I completed a Ph.D. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. My Ph.D. thesis(slides) describes several machine learning methods for the prognostication of coma, after cardiac arrest.

I am honored to have been invited to speak about my work with others in academia and industy. In 2017, I delivered a keynote address at ELM 2017, a symposium at ACNS and presented at Samsung's innovation headquarters. In 2018, I delivered Invited talks at Boston's Medical Development Group, ACM's Conference on Reccomendation Systems, and the Intelligent Health conference. For a full list of invited talks, see my CV.

Knowledge Sharing

Datathon

Book

Review

Chapter

Code

Classes

Knowledge is the greatest wealth, and should be freely shared. I am an certified teacher that has organized several hackathons, contributed to reviews in my field, and helped teach courses on Machine Learning (HST.953 workshop, IAP.ML4CC slides + code). I was also an editor and author for a book on the secondary analysis of electronic health records.